scispace - formally typeset
Open Access

The genetic architecture of type 2 diabetes

Christian Fuchsberger, +300 more
Reads0
Chats0
TLDR
Large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes, but most fell within regions previously identified by genome-wide association studies.
Abstract
The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes.

read more

Citations
More filters
Journal ArticleDOI

Global aetiology and epidemiology of type 2 diabetes mellitus and its complications.

TL;DR: An updated view of the global epidemiology of type 2 diabetes mellitus, as well as dietary, lifestyle and other risk factors for T2DM and its complications are provided.
Journal ArticleDOI

10 Years of GWAS Discovery: Biology, Function, and Translation

TL;DR: The remarkable range of discoveriesGWASs has facilitated in population and complex-trait genetics, the biology of diseases, and translation toward new therapeutics are reviewed.
Journal ArticleDOI

Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations

TL;DR: Genome-wide polygenic risk scores derived from GWAS data for five common diseases can identify subgroups of the population with risk approaching or exceeding that of a monogenic mutation.
Journal ArticleDOI

Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

Anubha Mahajan, +131 more
- 08 Oct 2018 - 
TL;DR: Combining 32 genome-wide association studies with high-density imputation provides a comprehensive view of the genetic contribution to type 2 diabetes in individuals of European ancestry with respect to locus discovery, causal-variant resolution, and mechanistic insight.
References
More filters
Journal ArticleDOI

A systematic review of genetic syndromes with obesity.

TL;DR: There is the need for increased clinical and genetic research on syndromes with obesity, as well as reports on organizational inconsistencies (e.g. naming discrepancies and syndrome classification) and suggestions for improvements.
Journal ArticleDOI

Computational network biology: Data, models, and applications

TL;DR: This review summarizes the recent developments of computational network biology, first introducing various types of biological networks and network structural properties, and then reviewing the network-based approaches, ranging from some network metrics to the complicated machine-learning methods.
Journal ArticleDOI

Synthetic associations are unlikely to account for many common disease genome-wide association signals.

TL;DR: Several lines of evidence are shown which suggest that, while possible, these synthetic associations are not common and should not be assumed to be common.